To really understand the Internet of Things (IoT) requires application, implementation, and execution in the real world. IEEE IoT recently launched a program to provide the IoT community an interactive platform on which to engage with use cases, service descriptions, business models, and reference implementations that will be key to developing a vibrant IoT industry. This is a fantastic opportunity for you to contribute to the IoT cause, as well as get excellent exposure for your projects and ideas.
Learn more how to Submit, Comment, and 'Like' a Scenario.
Context-aware multimodal real time travel planner
- ICT CityPulse
- transport, mobile, environment, crowd sourcing, health
Tony needs to travel from home to work. Different means of transportation are generally available to him and include walking, biking, moped/scooter (own, shared, electric/petrol), car (own, pooling, ride sharing, taxi), public transportation (bus, metro, train, ferry/boat). Transportation can be optimized to Tony’s preferred travel time, convenience (comfort, seating, crowdedness, safety, environmental quality), total cost, environmental impacts, scenic route and personal health. Factors that impact this optimization include conditions of the different transportation modes (road, weather, maintenance works, traffic intensity, people density, parking availability, charging pole availability, pollution, air quality, irregularities in traffic schedules, road tolls, seating availability, accidents, availability of city bikes, etc.). Tony will be presented with his ideal route and will be able to select each leg of the journey based on concurrent and projected aggregated conditions. Recalculation of his chosen route(s) can happen if conditions or preferences change, and will adapt to any detour of own choice.
View Context-aware multimodal real time travel planner in OrganiCity